CN107092610A - The searching method and device, the sorting technique of APP application icons and device of APP applications - Google Patents

The searching method and device, the sorting technique of APP application icons and device of APP applications Download PDF

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Publication number
CN107092610A
CN107092610A CN201610349909.7A CN201610349909A CN107092610A CN 107092610 A CN107092610 A CN 107092610A CN 201610349909 A CN201610349909 A CN 201610349909A CN 107092610 A CN107092610 A CN 107092610A
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app
scene
database
application
target
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饶俊学
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Alibaba Group Holding Ltd
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Alibaba Group Holding Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G06F3/04817Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/35Clustering; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/451Execution arrangements for user interfaces

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Human Computer Interaction (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The searching method and device of disclosure APP applications, the sorting technique and device of APP application icons, the searching method of APP applications is the search of the APP applications carried out based on APP scenes, therefore the way of search is not limited to search for the title or major function of APP applications, and all associated scenarios involved in APP can be covered, ensure the symmetry of information, and the substantial amounts of function not being exploited in APP applications can be excavated, so that user can conveniently search out required APP, therefore, this method can pass through fuzzy semantic search to a certain extent, the accurate APP applications searched out required for user.In a word, the substantial amounts of information black hole that the super APP appeared in has on can be excavated to a certain extent using this method.

Description

APP application searching method and device and APP application icon classification method and device
Technical Field
The application relates to the technical field of APP in a mobile terminal, in particular to a search method and a search device for APP; in addition, the utility model also relates to a method and a device for classifying APP icons.
Background
At present, a mobile terminal device may be installed with multiple Application applications (hereinafter referred to as APP applications, or APP directly), the functions of the early APP applications are relatively single, and the name of the APP can embody its main functions, when a user searches for an APP Application with a certain function, for example, the user can search for the APP Application meeting the name requirement through word segmentation or keywords of the name of the APP Application, and through matching of the keywords or word segmentation, the user can search for the APP Application meeting the name requirement.
However, with the development of mobile internet, super APP applications appear, the super APP applications refer to hundreds of functions gathered in a single APP application, in addition, the number of APP applications installed by a user on a mobile terminal device is more and more, in this case, the user cannot simply search through the name of the APP application, because if the search is performed only through the name of the APP application, the user is required to know the name of the APP application meeting the requirement definitely at first, and the super APP applications are many now, directly causing the user to be unable to know the specific name of the APP application with some functions to be searched definitely, so that the difficulty of search can be caused, the user experience will be influenced finally, and the user cannot search the required APP applications quickly and simply. Therefore, the super APP application has a large amount of information black holes to be explored.
Disclosure of Invention
The application provides a search method of an APP application to solve the problems in the prior art.
The application additionally provides a search apparatus for APP application. In addition, the application also provides a classification method and a classification device of the APP icons.
The application provides a search method of an APP (application). A scene database is preset based on a use scene of the APP; the scene database comprises APP and scenes corresponding to the APP; at least part of APP corresponds to a plurality of scenes; the searching method comprises the following steps:
receiving a search request, wherein the search request carries search keywords;
determining a target scene corresponding to the search keyword;
and determining the APP corresponding to the target scene according to the scene database.
The application also provides a search apparatus for APP application, including:
a search request receiving unit, configured to receive a search request, where the search request carries a search keyword;
a target scene determination unit for determining a target scene corresponding to the search keyword;
an APP determining unit, configured to determine, according to the scene database, an APP corresponding to the target scene;
the scene database is realized by adopting a scene database setting unit, and the scene database setting unit is used for presetting the scene database based on the using scene of the APP application; the scene database comprises APP and scenes corresponding to the APP; at least part of APP corresponds to a plurality of scenes.
The application provides a classification method of APP icons, which comprises the following steps: presetting a scene database based on the use scene of the APP; the scene database comprises APP and scenes corresponding to the APP; at least part of APP corresponds to a plurality of scenes;
the classification method comprises the following steps:
determining a scene of a target APP application to be classified based on the scene database;
setting an APP scene icon corresponding to a scene in the target APP application for the target APP application; the APP scene icon is used for opening a corresponding target APP;
APP scene icons corresponding to the same scene are classified into one class.
The application also provides a classification device of APP application icons, including:
the target APP determining unit is used for determining the scenes of the target APP to be classified based on the scene database;
the APP setting unit is used for setting an APP scene icon corresponding to a scene in each target APP application; the APP scene icon is used for opening a corresponding target APP;
the classification unit is used for classifying APP scene icons corresponding to the same scene into one class;
the scene database is preset based on the using scene of the APP; the scene database comprises APP and scenes corresponding to the APP; at least part of APP corresponds to a plurality of scenes.
Optionally, the classification device further includes a display unit, configured to display the classification result of the classification unit on a display interface.
Compared with the prior art, the method has the following advantages:
the application provides a search method of APP application, the method is based on APP scene search of APP application, therefore the search mode is not limited to search APP application name or main function, but can cover all related scenes involved in APP, information symmetry is guaranteed, and a large number of functions which are not excavated in APP application can be excavated, so that a user can conveniently and quickly search out required APP, therefore, the method can accurately search out APP application required by the user through fuzzy semantic search to a certain extent. In a word, by adopting the method, a large amount of information black holes on the super APP can be found to a certain extent.
Drawings
Fig. 1 is a flowchart of a search method for APP applications according to a first embodiment of the present application.
Fig. 2 is a schematic diagram of a search box provided in the first embodiment of the present application.
Fig. 3 is a table diagram of information included in the scene database according to the first embodiment of the present application.
Fig. 4 is a flowchart of a method for setting a scene usage frequency database according to a first embodiment of the present application.
Fig. 5 is a table diagram of information included in a scene usage frequency database according to a first embodiment of the present application.
Fig. 6 is a flowchart of a method for setting a scene experience database according to a first embodiment of the present application.
Fig. 7 is a table diagram of information contained in the scene experience database according to the first embodiment of the present application.
Fig. 8 is a schematic structural diagram of an APP application search apparatus according to a second embodiment of the present application.
Fig. 9 is a schematic structural diagram of an electronic device according to a third embodiment of the present application.
Fig. 10 is a flowchart of a classification method for APP application icons according to a fourth embodiment of the present application.
Fig. 11 is a schematic diagram of a plurality of APP scene icons generated by a target APP application according to a fourth embodiment of the present application.
Fig. 12 is a schematic diagram of different types of folders displayed on a display interface according to a fourth embodiment of the present application.
Fig. 13 is a schematic diagram of an APP scene icon under one folder displayed on a display interface according to a fourth embodiment of the present application.
Fig. 14 is a schematic structural diagram of an APP application icon classification apparatus according to a fifth embodiment of the present application.
Fig. 15 is a schematic structural diagram of an electronic device according to a sixth embodiment of the present application.
Detailed Description
The embodiment of the application provides a search method and a search device for an APP, which are applied to a mobile terminal device, can be applied to a search method for an APP on a mobile terminal, and can also be applied to an electronic market for downloading the APP, for example, an electronic market for Android applications, or an APP Store for iOS, and the like. By adopting the method, the APP most suitable for the user can be quickly found on the mobile terminal equipment to meet the current requirement, and the APP required by the user can be searched in a large number of APP.
Referring to fig. 1, fig. 1 is a flowchart illustrating a search method for APP provided in a first embodiment of the present application. The APP search method comprises the following operations:
step S101, receiving a search request, wherein the search request carries search keywords.
With the development of mobile internet, functions covered in many APP applications are more and more, and a user often does not know what functions some APP applications have, so that when an application scene unrelated to an APP application name needs to be implemented through a mobile terminal, the user cannot timely and accurately search out the APP application having the application scene. The APP search method provided by the first embodiment of the application can bring convenience to users to a certain extent, can be applied to APP search on mobile terminals, and can also be used for APP search in electronic markets. In the embodiment of the present application, a scenario in which a search is performed on an APP application that has been installed in a mobile terminal device is taken as an example, and is not limited.
The search request is a search request of an APP initiated by a user, and the search request carries retrieval information input by the user, wherein the retrieval information comprises search keywords. When a user makes a search request, the system can receive the search request and execute corresponding search operation according to the input search information to obtain a corresponding search result. The specific search operation performed and the search result obtained will be described and explained in detail in the following steps.
Specifically, the search method of the APP application may be implemented by a search application program arranged on the mobile terminal, where the search application program may be a search box, and after confirmation according to search information input by the user, a search result may be displayed on a display interface below the search box. As shown in fig. 2, fig. 2 is a schematic diagram of a search box provided in the first embodiment of the present application. A search keyword may be input in the search box in fig. 2, and an APP application corresponding to the search keyword may be found by clicking a search button at the rear end of the search box. The search button can also be arranged at the front end of the search frame, and the specific position of the search button can be arranged differently according to specific needs. The search box in fig. 2 is only schematic illustration, and is not the only carrier and presentation manner of the search method of APP application of the present application; the vector form of the search method of the APP application provided by the application can be various, the display form of the vector is only an extrinsic form problem, and the fundamental content is the search method of the APP application.
It should be noted that, in order to enable a user to search for an APP application corresponding to a required scene, in the embodiment of the present application, a scene database needs to be preset, that is, the search method is implemented based on the scene database, and therefore, before the search method is executed, the method further includes: presetting a scene database based on the use scene of the APP; and recording the APP contained in the mobile terminal and the relevant scenes corresponding to the APP in the scene basic database. At least part of APP corresponds to a plurality of scenes.
First, the scenario database is introduced, and the database is established depending on a scenario of the APP application, that is, a core thread of the scenario database is an APP scenario, where the APP scenario may be understood as all or part of functions integrated in the APP application.
The APP scene is description of functions, effects and the like of the APP; the APP scene is used to characterize the function or role that the APP application has. Specifically, a scenario refers to various functional modules integrated in the APP application, which can complete some tasks, and each functional module can provide an operating platform for a user to complete a task required by the user, which may be referred to as a scenario, and therefore, the "scenario" may be more capable of embodying the module integrated in the APP application than the "function". To illustrate the scenario more clearly, this is done by way of example. For example, the following are all possible APP scenarios: social, payment, take-away, shopping, web pages, movies, money transfers, travel, and the like. The user can perform social operation through the social module in the APP application to realize the social function, or the user can perform payment operation through the payment module in the APP application to complete the task of payment. The above is merely a list of some APP scenarios commonly used by existing users, and with the development of a mobile network, functions of APP applications may be further expanded, and therefore, APP scenarios may also increase accordingly, but even if APP scenarios may increase accordingly, the APP scenarios also belong to the scope of the present application. The term scene is used here because the description of the APP content cannot be accurately described only by using the "function", and the division of the APP content can be described more highly by using the "scene". For example, "travel" may include both "navigation" and "bus inquiry" and "parking space determination" functions, but "travel" itself is not a very specific function; however, when a user needs to consider the situation of "trip" to seek APP help, the user can directly search the broad scene description of "trip" to search out APP applications with functions of "navigation", "bus inquiry", "parking space determination", and the like, and the user can obtain various relevant functions of various APP applications contained in the mobile terminal in the situation, some of which may be completely unknown to the user.
For another example, although the main body of the pay wallet APP application is a payment function, the pay wallet APP application has a plurality of functions and use occasions such as taxi taking, call taking, movie ticket buying, shopping and chatting, and each function or use occasion in the pay wallet APP application is referred to as a scene of the APP application. The scene database is used for storing and recording basic information of the APP, the APP installed on the mobile terminal is mainly recorded in the scene base database, relevant scenes in the installed APP are provided, each APP has an official name (name of the APP for short), and a user can distinguish or identify each APP through the name of the APP.
For example, a pay wallet APP with scenarios including payment, transfer, credit card payment, taxi, take, movie, shopping, chat. Thus, the payment wallet APP application is relevant to the above-mentioned scenarios, which are recorded as relevant scenarios of the payment wallet APP application; similarly, each APP application recorded in the scene database records all relevant scenes with the APP application. Similarly, in the database, corresponding to each relevant scene, the APP with the scene is recorded correspondingly, so that the APP with the scene can be retrieved and obtained through the scene name.
The above is a process of recording basic information of an installed APP application in a mobile terminal and a scene of the APP application as scene basic information in a scene database, where the basic information mainly refers to a name of the APP application, and may also be a keyword in the name of the APP application, or a combination of the name of the APP application and the keyword. The scene can be recorded by adopting a standard scene name, and synonyms and similar words related to the scene name can also be recorded at the same time so as to facilitate fuzzy query. For example, the "shopping" scene may also be described by similar words such as "purchase", "buy things", "goods", "shopping", and the like.
The specific setting process and setting mode of the scene database comprise the following steps:
acquiring APP and scenes respectively possessed by the APP; determining a scene corresponding to each APP application according to the scene of each APP application; and forming a scene database by using the APP and the scene corresponding to the APP.
Specifically, each APP application on the mobile terminal can be marked according to a relevant scene. For example, a pay for you APP application has scenarios that include payment, transfer, credit card repayment, taxi, take out, movie, shopping, chat; WeChat APP applications have scenarios that include: social contact, payment, takeout, shopping, movie ticket buying, and account transfer; the UC browser APP application has scenes comprising web pages. And marking the APP according to the scene of each APP.
As shown in fig. 3, fig. 3 is a table diagram of information contained in the scene database according to the first embodiment of the present application. In the list, √ denotes the relevant scenes that the APP applications in the row have, for example, in the second row in the list, the row of the WeChat APP application, and the corresponding social, Payment, takeaway, shopping, movie and transfer all have √ marks, then the scenes that the WeChat APP application has include: social, payment, take-away, shopping, movies, and money transfers.
In the list of fig. 3, the other rows and other columns represent the same meaning as the second row listed above, so that each APP application installed in the mobile terminal can be listed in a scene by building a scene database similar to the list; not only can the relevant scene of each APP application be queried, but more importantly, the APP application with the relevant scene can be queried from the relevant scene. Since the basic information of the APP application and the possessed scene information are recorded in the scene database.
The scene database may list all scenes in all APP applications, may list partial scenes with a high usage rate, or list scenes that are relatively popular, and even if not all scenes are listed, the scenes recorded in the scene database are sufficient for the user to search and find. Therefore, the APP application may have a scene including a preset scene that does not exist in the name of the APP application. For example, the name of the pay bank APP application is a pay bank, the APP application is not shown to be related to scenes such as movies and social contacts in the name, and through the database, the user can still search out the pay bank as a candidate APP application when there is a demand for movies and social contacts. What has been described above is a scenario database, which stores data specifically and differently according to the APP application installed by the user.
By establishing the scene database, the searching mode of the embodiment of the application is not limited to searching the name or main function of the APP, and all related scenes in the APP can be covered, so that the symmetry of information is ensured, and a large number of unexplored functions in the APP can be excavated, so that a user can conveniently and quickly search out the needed APP.
Further, the search method for APP applications provided in the first embodiment of the present application may include a scene usage frequency database and a scene experience database in addition to the scene database.
Specifically, a frequency database is used for the scene. The setting condition of the scene use frequency database is as follows: after presetting a scene database based on the usage scene of the APP application, performing the following operations: setting a scene use frequency database in advance based on the use frequency of the APP use scene.
And the scene use frequency database records the APP contained in the mobile terminal and the use frequency of the APP in each scene.
The following specifically describes and explains the use of the frequency database for the scenario. Fig. 4 is a flowchart of a method for setting a scene usage frequency database according to a first embodiment of the present application. As shown in fig. 4, the setting manner of the scene usage frequency database includes:
and S101-1-1, obtaining the APP and scenes respectively possessed by the APP.
For example, similar to setting a scene database, the scenes of each APP application are listed, the usable scenes corresponding to the APP applications are determined, and the related scenes included in each APP application are determined. This step is to provide a basic scene classification for the acquisition of the frequency used in the following steps.
And S101-1-2, determining the use frequency of each APP in the scene according to the scene of each APP.
The obtaining of the use frequency is the key of the step, and the user can know which APP applications and scenes are more likely to be used by the user through the use frequency, so that convenience is brought to the user for searching according to the use habits of the user.
The corresponding scenes and the recording of the use frequency of each APP in the scene comprise: and respectively acquiring the opening times of each scene in each APP application with the scene in a preset time period, and taking the opening times as the use frequency of each APP application corresponding to the corresponding scene. Or, within a preset time period, respectively obtaining the use time of each scene in each APP application having the scene, and taking the use time as the use frequency of each corresponding scene corresponding to the APP application.
And S101-1-3, forming a scene use frequency database by using each APP and the use frequency of each APP in the corresponding scene.
First, a case where the number of times of opening is used as the frequency of use will be described below.
When a user opens a certain scene of an APP, the scene use frequency database accumulates the opening times of the scene, and the frequency of the scene used by the user in the APP can be judged by the opening times within a preset time period. The more times a scene in a certain APP application is opened, the higher the frequency of using the scene in the APP application by the user.
In addition, the usage time of the scene in the APP application may be used as the corresponding usage frequency. In general, the longer a user uses a scene, the more the user tends to use the scene in the APP application. For example, in one month, the usage time of the shopping scenario in the application a used by the user is 5 days, while the usage time of the shopping scenario in the application B used by the user is 15 days, and it is obvious that, for the shopping scenario, the usage time of the application B used by the user is longer, and the usage frequency of the shopping function of the application B is higher.
The above is data collected by using the number of times of opening or the usage time as the usage frequency and by the usage habit of the mobile terminal user, but the usage frequency may be collected according to the feedback of all users in the mobile internet.
Specifically, under a certain scene collected in the mobile internet, the download amount or the browsing amount of each different APP application having the scene is used as the usage frequency of each APP application under the scene. The way of acquiring the use frequency in this way is different from the above-mentioned way of acquiring the number of times of opening or the use time in that: the method for adopting the opening times or the using time is the using frequency only obtained according to the using habit of the user using the mobile terminal, and the obtained empirical data about a certain scene or a certain APP application on the whole mobile terminal is collected from the data fed back by the whole mobile internet user. Therefore, the use frequency obtained in this way may be different from the value of the use frequency obtained in the above way, but still can be used as a basis for determining the use condition of each APP application in a certain scene.
Fig. 5 is a table diagram of information included in a scene usage frequency database according to a first embodiment of the present application. Referring to fig. 5, in the list diagram of the scene usage frequency database, the row information is listed according to APP applications, the column information is listed according to APP scenes, and the data where the rows and columns intersect is: for each line of the scene, the frequency of use of the APP applications in the corresponding column, and thus the data at the intersection of the line and the column is the frequency of use data. Fig. 5 is an adaptive illustration, and the listed data is only one possibility and does not represent any limitation of directivity. As can be seen from the data shown in fig. 5, for the scenario of transfer, the usage frequency of the paymate application is 90%, and the usage frequency of the wechat application is 10%, and obviously, when the scenario of transfer is taken as a judgment basis, the usage frequency of the paymate application is higher than that of the wechat application. In short, the frequency of use can be obtained and collected in any way that can reflect the habit of the user.
The above is an introduction and description of a scene usage frequency database, and the following is an explanation and description of the scene experience database. After the step of presetting the scene basic database based on the APP scene, the following operations are executed: and presetting a scene experience database based on the experience effect of the use scene of the APP application.
The scene experience database comprises the APP and experience effect data of each relevant scene corresponding to each APP.
After determining the APP corresponding to the target scene according to the scene database, executing the following operations: and based on the experience effect data of the scene corresponding to each APP in the scene experience database, sequencing the experience effects of the determined APP.
The determined APP is displayed through a display interface of the mobile terminal, namely the APP subjected to experience sequencing is displayed through the display interface from high to low of experience effect data.
Fig. 6 is a flowchart of a method for setting a scene experience database according to a first embodiment of the present application. As shown in fig. 6, the setting manner of the scene experience database includes:
and S101-2-1, obtaining the APP and scenes respectively possessed by the APP.
For example, similar to setting a scene database, the scenes of each APP application are listed, the usable scenes corresponding to the APP applications are determined, and the related scenes included in each APP application are determined. This step is to provide a basic scene classification for the acquisition of the frequency used in the following steps.
And S101-2-2, determining experience effect data of each scene in different APP applications according to the scenes of the APP applications.
The obtaining of the experience effect data of each scene in different APP applications is to calculate the experience effect data of different APP applications corresponding to the same scene through each user feedback obtained through the network.
And S101-2-3, recording experience effect data of the APP in the scene experience database corresponding to each scene. After the experience effect data of each scene in different APP applications are obtained, the experience effect data of each scene in different APP applications are obtained according to the listed related scenes.
For the situation of different APP applications with the same scene, a certain scene may correspond to a plurality of different APP applications, and accordingly, in the same scene, the experience effect of each APP application is different, and therefore, the experience effect data thereof is also different. The step is to calculate and obtain experience effect data of different APP applications in the same scene. That is, the presetting of experience effect data of an APP application corresponding to a certain scene includes: and in a preset time period, recording experience effect data of different APP applications in the same scene according to user feedback.
Preferably, the experience effect data includes: experience score of a certain scene in an APP application. For example, a panning APP application and a panning movie APP application are installed on the mobile terminal at the same time, and a scene of "movie" is integrated on the panning APP application, which is the h5 version. The Taobao movie APP is an APP established for the function of a movie, and is a native version. The experience effect of the h5 version is not as good as that of the native version, that is, for the 'movie' scene, the score of the Taobao APP application is smaller than that of the Taobao APP application of the native version. Therefore, the experience effect of the Taobao movie APP application is better than that of the Taobao APP application by judging the experience effect of the movie scene.
Fig. 7 is a table diagram of information contained in the scene experience database according to the first embodiment of the present application. Referring to fig. 7, fig. 7 is a list diagram of a scene usage frequency database configured in the above manner, where row information is enumeration according to APP applications, column information is enumeration according to APP scenes, and data where rows and columns intersect are: for the scenes in the row information, the experience effect data of the APP applications in the corresponding columns, and therefore, the data at the intersection of the row and the column is the experience effect data. Fig. 7 is an adaptive illustration, and the listed data is only one possibility and does not represent any limitation of directivity. Moreover, as can be seen from the data shown in fig. 7, for the payment scenario, the value of the experience effect data of the paypal application is 90, and the value of the experience effect data of the other application is 10, and it is obvious that when the experience effect data of the payment scenario is taken as the judgment basis, the experience effect of the paypal application is higher than that of the other application.
In addition, the scene database, the scene usage frequency database, and the scene experience database have been introduced separately, and the specific application in the first embodiment of the present application may be the scene database alone, the scene database and the scene usage frequency database, the scene database and the scene experience database, or the scene database, the scene usage frequency database, and the scene experience database. That is, the scene database is a basic database, and the other scene usage frequency database and the scene experience database can be used as an overlay database, and form a combined database with the scene database in different combination modes.
Specifically, after the scene database is preset based on the usage scene of the APP application, the following operations are performed: presetting a scene use frequency database based on the use frequency of the APP use scene; and presetting a scene experience database based on the experience effect of the use scene of the APP application.
The scene use frequency database comprises APP and the use frequency of the APP corresponding to each scene; the scene experience database comprises the APP and experience effect data of each relevant scene corresponding to each APP. In the case of adopting three databases, after the setting of the databases is completed, the first step of the search method is entered, and a search request is received, wherein the search request carries search keywords. The search request is a search request initiated by a user to the mobile terminal device, the user wants to obtain a corresponding search result through the search request, and the search request carries a search keyword, the keyword is related content which the user subjectively wants to search, and the user wants to obtain an APP related to the search keyword through the search keyword. Therefore, relevant information can be obtained from the scene database according to the keyword so as to feed back the required APP to the user. Specifically, the following steps can be performed to obtain a search result from the database according to the search keyword.
With continued reference to fig. 1, in step S102, a target scene corresponding to the search keyword is determined.
The search request carries a search keyword, and the search keyword is a basis for a user to initiate a request and want to obtain a search result. The scene database comprises APP and scenes corresponding to the APP, and a plurality of scenes correspond to a plurality of APP.
The specific implementation manner of the step is as follows: and analyzing the search keyword in the search request into information associated with a scene in the APP application.
The related information here means that users generally search according to a required function, and word descriptions of the function are different in word usage habit of each user, and are also a taxi taking function, and some users are familiar with "taxi taking", but the functions of the two words are similar, so that the search information can be analyzed into information or words related to a scene through analysis of the search information.
For example, the system may default to "taxi" as the object associated with the scene, so when the user enters "taxi" or "taxi", the system will resolve the entered search object to "taxi". The search object is conveniently matched with the scene of the APP through analysis. The analysis process of the search information can analyze similar words into the same word or information in the modes of word segmentation, keyword search and combination.
After the analysis, according to the analyzed information, a scene which is the same as or similar to the keyword is searched in the scene basic database. The information obtained after analysis basically has a corresponding relation with the scene names listed in the scene basic database, and corresponding APP application can be obtained only by searching the scene names related to the information.
Continuing to refer to fig. 1, in step S103, determining an APP application corresponding to the target scene according to the scene database.
The step is a process of determining the APP corresponding to the target scene according to the corresponding relation between the APP in the scene database and the corresponding scene. Since the scene database includes the corresponding relationship, the APP application corresponding to the target scene can be found in the scene database according to the target scene determined in the above steps.
In addition, there may be a plurality of APP applications corresponding to the target scene, and correspondingly, there may also be a plurality of determined APP applications, which will involve the problem of sequencing the determined APP applications. Since the sequence relation of the APP applications is not recorded in the scene database, the determined APP applications may be sorted by using the frequency database, the scene experience database, or a combination of the two databases in the scene.
The scene use frequency database and the scene experience database are respectively recorded with use frequency, experience effect data and the like, and corresponding APP can be respectively sequenced according to the use frequency or according to the size of the experience effect data. The specific sorting mode can be described according to the scene use frequency database and the scene experience database respectively.
Using a frequency database for the scene, and accordingly, after determining the APP application corresponding to the target scene, performing the following operations: frequency ranking the retrieved APP applications from high to low based on the usage frequency in the scene usage frequency database.
The step is that the information recorded in the scene usage frequency database includes information sorted according to the usage frequency of the scene for the installed APP applications. When the information is used for online searching, the determined APP applications are sequenced according to the data in the scene use frequency database.
The calculation of the use frequency of the APP applications is to rank the APP applications according to the use frequency, the use frequency is high to indicate that a user is accustomed to using the APP applications, and may also indicate that a scene under the APP applications is more in line with the use habit of the user, so that the frequency of using a certain APP application by the user under the scene is high, and according to the habit of the user, the habit is recorded by the scene use frequency database to form the use frequency, when the user searches for the APP applications, the searched APP applications can be displayed in the search results according to the sequence of the use frequency from high to low, on one hand, the search results are in line with the use habit of the user, on the other hand, the user sees that the search results are similar to the daily habits, and tends to search for the required APP applications by adopting the APP application searching mode. The method improves the user experience to a certain extent and brings great convenience to the user.
And for the information recorded in the scene experience database, correspondingly, after determining the APP application corresponding to the target scene, performing the following operations: and based on the experience effect data of the scene corresponding to each APP application recorded in the scene experience database, carrying out experience sequencing on the determined APP applications.
The above-mentioned obtaining of the experience effect data of each APP is to sequence all APP applications according to the experience effect data. The experience effect is good, the habit of a user to use the APP is illustrated, therefore, the frequency of the user to use the APP in the scene is high, when the user searches the APP, the searched APP can be displayed in the search result according to the sequence of the experience effect data from large to small, on one hand, the search result accords with the use habit of the user, on the other hand, the user sees that the search result is similar to the daily habit, and tends to search the needed APP in the APP searching mode.
Or, when the scene experience database and the scene usage frequency database are combined, after determining the APP application corresponding to the target scene, performing the following operations: and sequencing the determined APP based on the use frequency recorded in the scene use frequency database and the experience effect data recorded in the scene experience database.
And sequencing the retrieved APP based on the use frequency recorded by the scene use frequency database and the experience effect data recorded by the scene experience database. The method comprises the following steps: carrying out weight division on the use frequency recorded in the scene use frequency database and the experience effect data recorded in the scene experience database; and based on the weight division, for each APP, using the use frequency recorded by the scene use frequency database and the experience effect data recorded in the scene experience database to comprehensively evaluate the APP, and sequencing according to comprehensive evaluation results.
Wherein the weight division includes: and taking the use frequency recorded by the scene use frequency database as priority, and using the experience effect data in the scene experience database to determine sequencing when the use frequency is equal or the difference value is smaller than a preset threshold value. And when the using frequency in the scene using frequency database cannot determine the sequence of the APP, determining the sequence of the APP by adopting the numerical value of the scene experience effect data in the scene experience database.
In addition, in order to enable a user to intuitively know a search result obtained according to a search request, the search result may be displayed on a display interface, and specifically, after determining an APP corresponding to the target scene according to the scene database, the determined APP is displayed through the display interface for the user to select.
The sequencing problem of the determined APP applications is involved in the process of displaying the determined APP applications through the display interface, and therefore, for the scene use frequency database, the displaying of the determined APP applications through the display interface includes: and the APP is displayed on a display interface by adopting the frequency sequencing sequence. And aiming at the scene experience database, the displaying the determined APP through the display interface comprises: and displaying the APP after the experience sequencing through a display interface in the order of experience effect data from high to low.
For example, if a user needs a scene of 'taxi taking', a mobile terminal is simultaneously provided with a 'WeChat' and a 'Paibao', the WeChat is integrated with a dripping taxi taking, and the Paibao is integrated with a scene of quick taxi taking. Therefore, after the user inputs the request of 'taxi taking', the payment application and the WeChat application are displayed on the display interface of the search result, and the payment application is located at the first position of the search result.
Or, aiming at the sequencing mode in the scene experience database, a public praise takeout and a payment treasure are simultaneously installed on the mobile terminal, and a scene of a public praise takeout h5 version is integrated on the payment treasure. However, since the experience of the h5 version is weaker than that of the native version of the public praise takeout APP, the experience effect of the public praise takeout APP is better than that of the pay treasure according to the scene experience effect. Therefore, after the user inputs the request of 'take-away', the pay for use application and the public praise take-away application are displayed on the display interface of the search result, and the public praise take-away application is located at the first position of the search result.
When the frequency database and the scene experience database are used for the scene, the situation that comprehensive evaluation is carried out on the APP according to weight division is involved, comprehensive evaluation is carried out on the APP, sequencing is carried out according to comprehensive evaluation results, and correspondingly, the determined APP is displayed through a display interface and comprises the following steps: according to the front and back sequence arranged in the sequencing mode, the APP with the sequence at the front position is displayed at the front position of the search result of the display interface.
When the user does not use the APP in a certain scene, the searched APP can be sequenced according to experience effect data of the scene experience database, and the APP with good experience effect is arranged at the first position of the search result.
Therefore, through the search method, the user can find the APP suitable for the user through the description of the simple search keyword, and even if the function level entries of a plurality of APP are deep, the search method can be used for simply and accurately finding the needed APP to meet the requirements of the user. Preferably, the determined APP applications can be sequenced, and the APP applications more suitable for the user can be recommended for the user according to the habit of the user, so that the user experience is improved. In addition, the searching method provided in the first embodiment of the present application can avoid that a matching installed APP application is not found, and guide the user to download, thereby wasting the storage space, the traffic, and the time of the user mobile terminal.
In summary, the search method provided in the first embodiment of the present application is based on the search of the APP application performed in the context of the APP application, and therefore, the search method is not limited to the name or the main function of the APP application, but can cover all contexts in the APP application, ensure the symmetry of information, and can dig out a large amount of functional information in the APP application, and also can be according to the specific application habits and experiences of the user.
A second embodiment of the present application provides a search apparatus for APP applications, where the search apparatus for APP applications corresponds to the APP application search method of the first embodiment, and fig. 8 is a schematic structural diagram of the APP search apparatus based on a mobile terminal provided in the second embodiment of the present application. Referring to fig. 8, the APP search apparatus includes:
a search request receiving unit 801, configured to receive a search request, where the search request carries a search keyword;
a target scene determination unit 802 for determining a target scene corresponding to the search keyword;
an APP application determining unit 803, configured to determine, according to the scene database, an APP application corresponding to the target scene;
the scene database is realized by adopting a scene database setting unit, and the scene database setting unit is used for presetting the scene database based on the using scene of the APP application; the scene database comprises APP and scenes corresponding to the APP; at least part of APP corresponds to a plurality of scenes.
Optionally, the search apparatus for APP application further includes:
and the display unit is used for displaying the determined APP through a display interface for the user to select after determining the APP corresponding to the target scene according to the scene database.
Optionally, the scene database setting unit includes:
the APP obtaining subunit is used for obtaining the APP and the scenes of each APP;
a scene determining subunit, configured to determine, according to the scene owned by each APP application, a scene corresponding to each APP application;
and the scene database forming subunit is used for forming a scene database by using each APP and the scene corresponding to each APP.
Optionally, the setting unit of the scene database further includes:
the scene use frequency database setting unit is used for presetting a scene use frequency database based on the use frequency of the APP use scene; the scene use frequency database comprises APP and the use frequency of the APP corresponding to the scene;
a usage frequency sorting unit, configured to, after determining APP applications corresponding to the target scene according to the scene database, sort usage frequencies of the determined APP applications from high to low based on usage frequencies in the scene usage frequency database;
the display unit is specifically used for displaying the APP on a display interface in the sequence of the use frequency sequencing.
Optionally, the scene usage frequency database setting unit includes:
the scene obtaining subunit is used for obtaining the APP and the scenes respectively possessed by the APP;
the using frequency determining subunit is used for determining the using frequency of the APP in the scene according to the scene of the APP;
and the scene use frequency database forming subunit is used for forming a scene database by using the APP and the use frequency of the APP in the corresponding scene.
Optionally, the using frequency determining subunit further includes:
the opening frequency acquiring subunit is configured to acquire, within a preset time period, the opening frequency of each scene in the APP application having the scene, and use the opening frequency as the use frequency of the APP application corresponding to the corresponding scene; or,
and the using time acquiring subunit is used for respectively acquiring the using time of each scene in each APP application with the scene within a preset time period, and taking the using time as the using frequency of each corresponding scene of each APP application.
Optionally, the search apparatus for APP application further includes:
the scene experience database setting unit is used for presetting a scene experience database based on the APP usage scene experience effect after the scene basic database based on the APP scene is preset; the scene experience database comprises APP and experience effect data of relevant scenes corresponding to each APP;
an experience sequencing obtaining subunit, configured to, after determining, according to the scene database, the APP applications corresponding to the target scene, perform experience sequencing on the determined APP applications based on experience effect data of the scene corresponding to each APP application in the scene experience database;
the display unit is specifically used for displaying the APP after the experience sequencing through a display interface in the order of experience effect data from high to low.
Optionally, the setting unit of the scene experience database includes:
the scene obtaining subunit is used for obtaining the APP and the scenes respectively possessed by the APP;
the experience effect data acquisition subunit is configured to determine, according to the scenes of the APP applications, experience effect data of each scene in different APP applications;
and the experience effect data recording subunit is used for recording the experience effect data of the APP in the scene experience database corresponding to each scene.
Optionally, the experience effect data obtaining subunit specifically uses a plurality of user feedbacks obtained through the network to calculate the experience effect data corresponding to different APP applications in the same scene.
Optionally, the search apparatus for APP application further includes:
a scene usage frequency database and scene experience database setting unit, configured to preset a scene usage frequency database and a scene experience database respectively based on the scene usage frequency and the scene experience effect of the APP scene after the scene database is preset in the APP-based usage scene; the scene use frequency database comprises APP and the use frequency of the APP corresponding to each scene; the scene experience database comprises APP and experience effect data of each relevant scene corresponding to each APP;
a sorting unit, configured to, after determining the APP corresponding to the target scene according to the scene database, sort the determined APP based on the usage frequency recorded in the scene usage frequency database and the experience effect data recorded in the scene experience database;
the display unit is specifically used for displaying the sequenced APP applications on a display interface according to the sequence.
Optionally, the sorting unit includes:
the weight division subunit is used for carrying out weight division on the use frequency recorded in the scene use frequency database and the experience effect data recorded in the scene experience database;
and the sequencing subunit is used for performing comprehensive evaluation on each APP based on the weight division by using the use frequency recorded by the scene use frequency database and the experience effect data recorded in the scene experience database, and sequencing the APP according to the comprehensive evaluation result.
Optionally, the target scene determining unit includes:
the analysis subunit is used for analyzing the search keyword in the search request into information which is associated with a scene in the APP application;
the searching subunit is used for searching the scene name related to the information in the scene database according to the analyzed information;
and the target scene determining subunit is used for determining the found scene as the target scene corresponding to the search keyword.
Since the embodiment of the search apparatus for APP application is basically similar to the embodiment of the method, the description is simple, and related parts may be referred to only for part of the description of the embodiment of the method, which is not described herein again.
A third embodiment of the present application provides an electronic device, and fig. 9 is a schematic structural diagram of an electronic device provided in the third embodiment of the present application. Referring to fig. 9, the electronic device includes:
a display 901;
a processor 902;
a memory 903, configured to store a program of a search method of an APP application, where after the apparatus is powered on and runs the program of the search method of the APP application, the following steps are performed:
presetting a scene database based on the use scene of the APP; the scene database comprises APP and scenes corresponding to the APP; at least part of APP corresponds to a plurality of scenes; the searching method comprises the following steps: receiving a search request, wherein the search request carries search keywords; determining a target scene corresponding to the search keyword; and determining the APP corresponding to the target scene according to the scene database.
The fourth embodiment of the present application provides a method for classifying APP application icons, which is mainly applied to a mobile terminal device, and by using the method, each APP application can display a plurality of icons on a display interface of the mobile terminal device, so that a user can manage and view the icons according to the plurality of icons, so as to meet the requirements of the user. The specific method is described and illustrated below.
Referring to fig. 10, fig. 10 is a flowchart illustrating a method for classifying APP application icons according to a fourth embodiment of the present application. The method comprises the following steps:
step S1001, based on the scene database, determining the scene of the target APP application to be classified.
Since there are various ways to obtain the relevant scene corresponding to the target APP application, a way to obtain the relevant scene from the scene database by establishing the scene database is introduced below.
Presetting a scene database based on the use scene of the APP; the scene database comprises APP and scenes corresponding to the APP; at least part of APP corresponds to a plurality of scenes. The method for setting the scene database in advance may refer to the detailed description of setting the scene database in the first embodiment, which is not described herein again.
The database is used for recording relevant scenes of all APP applications, and a plurality of APP scene icons corresponding to the scenes are conveniently established on the basis of the scenes in the subsequent steps. The mobile terminal equipment is stored with installed APP, with the development of mobile internet, more and more functions are covered in the existing APP, and the user does not know the hidden functions contained in the APP to a great extent, so that in some cases, even if the user installs some APP, the user is likely to not know which functions the APP has, and in order to show all or part of the functions contained in the APP installed on the mobile terminal to the user, the user can list or classify scenes in the APP.
Referring to fig. 10, in step S1002, an APP scene icon corresponding to a scene in each target APP application is set for each target APP application; the APP scene icon is used for opening a corresponding target APP application.
In this step, multiple modes can be adopted to set a plurality of APP scene icons for the APP application, and multiple modes can also be adopted to acquire the relevant scene corresponding to the APP application. Therefore, no matter what kind of mode is adopted to set up a plurality of APP scene icons for the APP application and what kind of mode is adopted to obtain the relevant scene that the APP application corresponds to, it can be that a plurality of APP scene icons corresponding to the corresponding scene in the APP application are set up for an APP application as a result.
After the scene database is preset, correspondingly, based on the relevant scenes of each target APP recorded in the scene database, a plurality of APP scene icons used for representing the corresponding scenes are set for the APP.
Firstly, target APP applications and related scenes of each APP application are already stored in a scene database, and the corresponding relationship between each target APP application and the related scenes thereof is also recorded in the scene database, so that a plurality of APP scene icons used for representing the corresponding scenes can be set for the target APP applications by using the corresponding relationship and listed scenes.
The specific setting mode comprises: determining the number of scenes corresponding to each target APP application; and setting APP scene icons corresponding to the scenes corresponding to the target APP for each target APP.
For example, for a pay for APP application, the APP application has the relevant scenarios: social contact, finance, takeaway, shopping, movie, therefore, the corresponding scene is five, and these five scenes are the information that records in the database, if pay precious APP increases again in subsequent development, can update this database, increase or reduce the scene that its contained. For the present case, the number of scenarios corresponding to the pay for your APP application is five. Since the APP scene icons correspond to scenes, for a certain APP application, several related scenes are recorded in the database, and the number of generated APP scene icons is also the corresponding number.
Besides the above-mentioned related information is recorded by means of a database, other ways may also be adopted to list or mark the related scenes in the APP application. Another way of setting a plurality of APP scene icons for representing corresponding scenes for the APP application is described below.
The specific implementation mode is as follows:
and setting a multi-icon mode for the target APP in advance.
The multi-icon mode of the target APP application means that one target APP application is not corresponding to a single icon but corresponds to a mode with at least two icons, and each target APP application is displayed on the display interface through a plurality of icons in the multi-icon mode. And each different icon may enter a different functional portal of the APP application.
And starting a multi-icon mode, and establishing a plurality of APP scene icons for the target APP application aiming at the target APP application in the installation process or the target APP application installed on the mobile terminal. The APP scene icon is used for representing a corresponding scene in the target APP application. When the multi-icon mode is started, the method can correspond to two situations, one situation is a target APP in the installation process, and the other situation is the target APP installed on the mobile terminal.
The following description is directed to a case where a target APP application in the installation process starts a multi-icon mode.
In the installation process of the target APP, a plurality of inlets are arranged in the target APP configuration file. The entrance is used for displaying a plurality of icons on the display interface after the target APP is installed. After a plurality of entries are set, according to the set entries, after installation of the target APP is completed, a plurality of APP scene icons of corresponding quantity are established for the target APP.
If the function of generating a plurality of APP scene icons is to be realized, the target APP configuration file needs to be changed, specifically, a plurality of entries are set in the target APP configuration file, so that a plurality of icon styles can be displayed on a display interface after the APP is installed.
For example, in an Android system, a way for generating multiple icons by a single target APP application is specifically to configure multiple entries in an Android manifest. Since the icons are established according to scenes, the icons are referred to as APP scene icons.
The mode of generating a plurality of scene-related APP scene icons by one target APP application is not limited to the above listed mode, and other modes that can generate a plurality of scene-related APP scene icons by one target APP application all belong to the scope of protection of the present application.
In addition, the following description is made on the style of the APP scene icons, and fig. 11 is a schematic diagram of a plurality of APP scene icons generated by one target APP application according to a fourth embodiment of the present application. Referring to fig. 11, fig. 11 shows a plurality of APP scene icons, where the icons are generated based on the relevant scenes that the APP applications have, for example, the APP scene icons in fig. 11 are respectively: pay for "movies", "social", "finance", "take-out", "shopping" in the APP application.
As can also be seen from fig. 11, the APP scene icon also has naming rules. The name of the APP scene icon may be a name of an APP application corresponding to the APP scene icon, or a name of a scene corresponding to the APP scene icon, or a name and a name of a scene that combine the APP application. The naming of the APP scene icon in fig. 3 is the last naming method, that is, the name of the APP application is included, and the name of the corresponding scene is also included. For example, the name "pay for your things — movie", pay for your things is the name of the APP application, and movie is the name of the corresponding scene.
Besides the combination of the two methods, the name of the APP application alone or the name of the scene alone can be used. The naming mode and rules of the APP scene icons are not limited to those listed above.
In addition, the display icon of the APP scene icon may be an original icon of an APP application corresponding to the APP scene icon. For example, the display icon portion of the APP scene icon of "pay for pal-movie" in fig. 11 may be the default identification of the pay for pal APP application. The rule adopted by the mark set by the display icon is adaptive to the habit mark of the user, and the display icon can be adaptively modified and set according to the habit or the preference of the user.
In addition, the APP scene icon is used for opening a corresponding APP application, and since the APP scene icon has relevance to the APP application and also has relevance to a scene in the APP application, the APP scene icon may be used for directly opening a top page of the corresponding APP application, or the APP scene icon may be used for opening a page of a scene in the corresponding APP application.
Some users may get into the home page of the APP application directly, so that the APP scene icon may be used to directly open the home page of the corresponding APP application, specifically, even if the APP scene icon is generated according to a scene, the APP scene icon still gets into the home page of the APP application directly, and after entering the home page, a needed scene is found through information or a function module in the home page, and then the corresponding scene is entered, so as to meet the needs of the users.
Preferably, however, more users may prefer to choose the way in which a particular functional module may be directly accessed. In order to save the operation time and operation steps of the user, the APP scene icon may be directly entered into a page of a specific required scene in the APP application according to the scene corresponding to the APP scene icon. Therefore, the user can direct to the entrance of different function modules of the APP according to the APP scene icon. For example, the APP application for the pay bank has five scenes of "social contact", "finance", "take-out", "shopping" and "movie", and an APP scene icon corresponding to the "take-out" scene is clicked to directly jump to a "public praise take-out" home page in the APP application for the pay bank, or an APP scene icon corresponding to the "movie" scene is clicked to directly jump to a "panning movie" home page in the APP application for the pay bank.
The above is an effect description explaining how the APP scene icon can open a page of a scene in a corresponding APP application, and what manner is adopted to implement the function is described below from a technical perspective.
The mode that the APP scene icon is used for opening the page of the scene in the corresponding APP application comprises the following steps: the APP scene icons are provided with links pointing to corresponding scenes in corresponding APP applications; correspondingly, the APP scene icon is used for opening a page of a corresponding scene in the corresponding APP application, and the corresponding scene in the corresponding APP application is opened through the link.
It should be noted that the positions of the link settings include: the display icon of the APP scene icon, or the name of the APP scene icon, or the display icon and the name are provided with links. The mode of setting up the link can also be called as a mode of establishing a shortcut for the icon of the APP application, namely, the APP scene icons are all icons established by the established shortcut, and the function of directly entering the corresponding scene entrance through the APP scene icons can be realized by adopting the shortcut.
The mode of directly entering the corresponding scene entrance through the APP scene icon has the advantages that the existing entrance of some APP applications entering a certain function level is deep, multiple levels and hierarchical entrances generally exist, and the actual needed function entrance is difficult to enter quickly through the main entrance home page. By adopting the method, the corresponding functional layer can be directly accessed, namely, the specific scene can be directly accessed. And the main page of the APP application is not needed, and the functional layer of the required scene is not needed to be searched layer by layer. When a user needs a certain function, the user directly clicks the APP scene icon corresponding to the scene of the function, and the user directly enters the scene, so that the time for the user to search can be saved, convenience is brought to the application of the user, and the user experience is improved.
Referring to fig. 10, in step S1003, APP scene icons corresponding to the same scene are classified into one category.
The step is a process of classifying the APP scene icons generated in the step. In addition, the classified APP scene icons can be displayed on a display interface. The generated APP scene icons can be displayed on a display interface in a preset arrangement mode, and a user enters a preset function entrance or an applied home page through the APP scene icons respectively.
The method comprises the step of classifying APP scene icons according to scenes, wherein the APP applications of the APP scene icon sources in the same scene are different. For example, the APP scene icon of the pay pal-movie divided by the pay pal APP application and the APP scene icon of the WeChat-movie divided by the WeChat APP application are in the same class, and can be classified in the same class range. And APP scene icons of the same scene can be displayed on a display interface of the mobile terminal as the same type.
Specifically, the displaying of the APP scene icons of the same type on the display interface of the mobile terminal includes:
the APP scene icons with the same scene are classified into the same type, and the APP scene icons of the same type are arranged in the same folder; and then, displaying the folder comprising the APP scene icons of the same type on a display interface of the mobile terminal. And the name of the folder has relevance with the scene corresponding to the APP scene icon in the folder.
The method is used by users to arrange icons into folders, so that a display interface of the users cannot display a plurality of complex icons, the display interface of the users is classified into the folders according to the habits of the users, and the same method is also used for arranging APP scene icons of the same type into the same folder.
Fig. 12 is a schematic diagram of different types of folders displayed on a display interface according to a fourth embodiment of the present application. Referring to fig. 12, it can be seen in fig. 12 that two folders with names of movie and takeout are displayed on the display interface, that is, two folders with scenes of "movie" and "takeout" are stored in the two folders, respectively. In the "movie" folder there may be stored an APP scene icon named pay for treasure-movie, and an APP scene icon named WeChat-movie equal to the icon relating to the movie scene. Fig. 12 is only a schematic illustration, and more folders may be displayed on a specific display interface.
Fig. 13 is a schematic diagram of an APP scene icon under one folder displayed on a display interface according to a fourth embodiment of the present application. Referring to fig. 13, fig. 13 shows different APP scene icons stored under a folder, which may be "movie" in name, with the same scene. Fig. 13 shows a folder named "movie" in an enlarged scale for clarity of illustration of icons stored under the same folder. Movie scene-based APP scene icons entitled "WeChat-movie", "Taobao-movie", "Paibao-movie" and "Taobao-movie" are stored under the folder, respectively. That is, the APP scene icon stored under the folder may be a movie scene in the "WeChat" application, a movie scene in the "pay for Bao" application, a movie scene in the "Taobao" application, or a "Taobao movie" application.
As can be seen from fig. 13, under the same folder, the scenes pointed to by all APP scene icons are the same. The user opens the folder, can select the APP to be used according to personal hobbies and habits, classifies the APP scene icons according to the scenes, not only enables the display interface of the mobile terminal to be neat and clear, but also can provide convenience for the user to search the APP with the corresponding functions. In addition, the user can also open folders with corresponding functions, different APP scene icons are selected according to habits and preferences, and the APP applications entered by the user are different according to the different selected APP scene icons.
Besides the classification mode of the APP scene icons, a classification mode which is convenient for the user to operate can be adopted, and the specific implementation process is as follows: and setting a one-key automatic classification function for the APP scene icon. Specifically, the sort button is first set in advance. The sort button may also be a small application program that the user operates accordingly. After receiving the operation of the user on the classification button, the APP scene icons with the same scene are automatically set in the same folder.
And after the classification button receives the operation, automatically establishing the folder. The folder may be automatically created. The name of the folder can be customized to the name of the scene corresponding to the APP scene icon. Correspondingly, after the step of automatically classifying the APP scene icons with the same scene into the same class, the following steps are executed: and setting APP scene icons of the same type into the same folder. Therefore, the classification button can enable a user to automatically finish the arrangement of the desktop APP by one key, the APP of the same category can be quickly grouped by one key according to the scene of the APP, a folder can be automatically created, the name of the scene can be used as the name of the folder, the user can quickly find the corresponding APP according to the scene in the APP to be used, and the implementation mode is simple and easy to understand.
In short, the method is based on the classification of scenes, carries out category division on each APP according to the scenes, and carries out multi-scene multi-icon classification on one APP to form the classification division of the APP scene icons.
Therefore, the scheme of the application accurately marks the core function of the APP in the mobile terminal and other scenes besides the integrated core function, and utilizes the scenes for classification and aggregation. Finally, classification can be performed according to the functional scenes of the APP applications, and one APP application can be automatically classified into a plurality of classified folders at the same time.
According to the method for classifying the APP icons provided by the fourth embodiment of the application, relevant scenes in a target APP application can be displayed through the corresponding APP icons, a user can simply and intuitively know which relevant scenes exist in the APP application on a display interface, and the scenes can be some functions which are not frequently used by the user but have good experience effect, so that hidden functions in some APP applications can be discovered by the method, and more selection possibilities are provided for the user. In addition, the user can search the needed APP application in a simple mode. On the basis of the display method, the user can conveniently check and manage the desktop icons further according to the APP scene icons.
A fifth embodiment of the present application provides a device for classifying APP APPs, and fig. 14 is a schematic structural diagram of the device for classifying APP APPs provided in the fifth embodiment of the present application. Referring to fig. 14, the classification apparatus includes:
a target APP application determining unit 1401, configured to determine, based on the scene database, a scene that the target APP application to be classified has;
an APP scene icon setting unit 1402, configured to set, for the target APP application, an APP scene icon corresponding to a scene in the target APP application; the APP scene icon is used for opening a corresponding target APP;
a classifying unit 1403, configured to classify APP scene icons corresponding to the same scene into one class.
The scene database is preset based on the using scene of the APP; the scene database comprises APP and scenes corresponding to the APP; at least part of APP corresponds to a plurality of scenes.
Optionally, the scene database setting unit includes:
the obtaining subunit is used for obtaining the APP and scenes respectively possessed by each APP;
a scene determining subunit, configured to determine, according to a scene that the APP application has, a scene corresponding to the APP application;
and the scene database forming subunit is used for forming a scene database by using the APP and the scene corresponding to the APP.
Optionally, the setting unit of the scene database further includes:
a scene number determining subunit, configured to determine, after determining, based on the scene database, that an APP with multiple scenes is a target APP, a number of scenes corresponding to each target APP; the APP scene icons are specifically used for setting the number of the APP scene icons corresponding to the corresponding target APP applications for each target APP application.
Optionally, the APP scene icon setting unit includes:
the multi-icon mode presetting subunit is used for presetting a multi-icon mode for the target APP;
and the opening subunit is used for opening a multi-icon mode, and setting a plurality of APP scene icons for each target APP application aiming at the target APP application in the installation process or the target APP application installed on the mobile terminal.
Optionally, the opening subunit includes:
the device comprises an entrance setting subunit, a target APP configuration file setting subunit and an entrance setting subunit, wherein the entrance setting subunit is used for setting a plurality of entrances in the target APP configuration file in the installation process of the target APP;
and the icon establishing subunit is used for establishing a plurality of APP scene icons of corresponding quantity aiming at the target APP application after the target APP application is installed according to the set inlet.
Optionally, the display unit further includes: the folder setting subunit is used for setting APP scene icons of the same type in the same folder; and the folder display subunit is used for displaying the folders containing the APP scene icons of the same type on the display interface.
Optionally, the classification device further includes: a sort button setting unit for setting a sort button in advance; the display unit is specifically configured to automatically classify APP scene icons corresponding to the same scene into one class after the classification button receives an operation.
Optionally, the classification device further includes: the automatic folder establishing unit is used for automatically establishing the folder after the operation is received by the classification button; the display unit is specifically configured to set the APP scene icons of the same type into the same automatically established folder after the APP scene icons corresponding to the same scene are automatically classified into one type.
Optionally, the APP scene icon in the APP scene icon setting unit is used to open a corresponding target APP application, and the APP scene icon includes: a home page opening subunit, configured to open a home page of a corresponding target APP application directly by the APP scene icon; or, a scene page opening subunit, configured to open a page of a corresponding scene in the corresponding target APP application by using the APP scene icon.
Optionally, the opening a scene page subunit includes:
a link setting subunit, configured to set, in the APP scene icon, a link pointing to a corresponding scene in a corresponding target APP application;
the open scene page subunit is specifically configured to open a corresponding scene in a corresponding target APP application through the link.
Since the embodiment of the classification apparatus is basically similar to the embodiment of the classification method, the description is simple, and reference may be made to part of the description of the embodiment of the method for relevant points, which is not described herein again.
A sixth embodiment of the present application further provides an electronic device, and fig. 15 is a schematic structural diagram of the electronic device provided in the sixth embodiment of the present application. Referring to fig. 15, the electronic device includes:
a display 1501;
a processor 1502;
memory 1503 for a program of a classification method of APP icons, where after the device is powered on and runs the classification program of APP icons, the following steps are performed: determining a scene of a target APP to be classified based on a scene database; setting an APP scene icon corresponding to a scene in each target APP application; the APP scene icon is used for opening a corresponding target APP; and classifying APP scene icons corresponding to the same scene into one class, and displaying the APP scene icons on a display interface. The scene database is preset based on the using scene of the APP; the scene database comprises APP and scenes corresponding to the APP; at least part of APP corresponds to a plurality of scenes.
Although the present application has been described with reference to the preferred embodiments, it is not intended to limit the present application, and those skilled in the art can make variations and modifications without departing from the spirit and scope of the present application, therefore, the scope of the present application should be determined by the claims that follow.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory. The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

Claims (21)

1. A search method of an APP application is characterized in that a scene database is preset based on a use scene of the APP application; the scene database comprises APP and scenes corresponding to the APP; at least part of APP corresponds to a plurality of scenes;
the searching method comprises the following steps:
receiving a search request, wherein the search request carries search keywords;
determining a target scene corresponding to the search keyword;
and determining the APP corresponding to the target scene according to the scene database.
2. The search method for APP applications as claimed in claim 1, wherein the search method for APP applications is a search method for APP applications applied on a mobile terminal; the APP is the APP on the mobile terminal;
the scene database comprises the APP contained in the mobile terminal and the scenes corresponding to the APP.
3. The search method for the APP application according to claim 1 or 2, wherein the presetting of the scene database based on the usage scene of the APP application comprises:
acquiring APP and scenes respectively possessed by the APP;
determining a scene corresponding to each APP application according to the scene of each APP application;
and forming a scene database by using the APP and the scene corresponding to the APP.
4. The APP search method according to claim 3, wherein the APP has a scene comprising a preset scene that does not exist in the APP name.
5. The search method for APP applications according to claim 1, wherein after determining the APP application corresponding to the target scene from the scene database, the following operations are performed:
and displaying the determined APP through a display interface for the user to select.
6. The search method for APP applications according to claim 5, further comprising, after the setting of the scene database in advance based on the APP usage scene:
presetting a scene use frequency database based on the use frequency of the APP use scene; the scene use frequency database comprises APP and the use frequency of the APP corresponding to each scene;
after determining the APP corresponding to the target scene according to the scene database, executing the following operations: determining the APP application to be subjected to usage frequency sequencing from high to low based on the usage frequency in the scene usage frequency database;
the APP application is displayed on the display interface in the sequence of the use frequency sequence.
7. The search method for APP applications according to claim 5, further comprising, after the setting of the scene database in advance based on the APP usage scene:
presetting a scene experience database based on experience effects of the use scene of the APP application; the scene experience database comprises APP and experience effect data of each relevant scene corresponding to each APP;
after determining the APP corresponding to the target scene according to the scene database, executing the following operations: based on experience effect data of the scene corresponding to each APP in the scene experience database, sequencing experience effects of the determined APP;
the displaying of the determined APP through the display interface of the mobile terminal comprises the following steps: and displaying the APP after the experience sequencing through a display interface in the order of experience effect data from high to low.
8. The search method for APP applications according to claim 5, wherein after the APP-based usage scenario pre-sets the scenario database, the following steps are performed:
presetting a scene use frequency database based on the use frequency of the APP use scene; presetting a scene experience database based on experience effects of the use scene of the APP application;
the scene use frequency database comprises APP and the use frequency of the APP corresponding to each scene; the scene experience database comprises APP and experience effect data of each relevant scene corresponding to each APP;
after determining the APP corresponding to the target scene according to the scene database, executing the following steps: sequencing the determined APP based on the use frequency recorded by the scene use frequency database and the experience effect data recorded by the scene experience database;
the displaying the determined APP through the display interface comprises the following steps: and displaying the sequenced APP applications through a display interface according to the sequence.
9. The APP search method of any one of claims 6 to 8, wherein the displaying the determined APP through a display interface comprises: displaying the sequenced APP through the display interface according to the sequence, wherein the APP with the sequence located at the front position is displayed at the front position of the search result of the display interface.
10. The search method of the APP application according to claim 1, wherein the determining the target scene corresponding to the search keyword comprises:
analyzing the search keyword in the search request into information associated with a scene in the APP application;
according to the analyzed information, searching a scene related to the information in the scene database;
and determining the found scenes as target scenes corresponding to the search keywords.
11. A search apparatus for an APP application, comprising:
a search request receiving unit, configured to receive a search request, where the search request carries a search keyword;
a target scene determination unit for determining a target scene corresponding to the search keyword;
an APP determining unit, configured to determine, according to the scene database, an APP corresponding to the target scene;
the scene database is realized by adopting a scene database setting unit, and the scene database setting unit is used for presetting the scene database based on the using scene of the APP application; the scene database comprises APP and scenes corresponding to the APP; at least part of APP corresponds to a plurality of scenes.
12. The apparatus for searching for APP as claimed in claim 11, further comprising:
and the display unit is used for displaying the determined APP through a display interface for the user to select after determining the APP corresponding to the target scene according to the scene database.
13. The apparatus of claim 12, wherein the context database setting unit comprises:
the APP obtaining subunit is used for obtaining the APP and the scenes of each APP;
a scene determining subunit, configured to determine, according to the scene owned by each APP application, a scene corresponding to each APP application;
and the scene database forming subunit is used for forming a scene database by using each APP and the scene corresponding to each APP.
14. The apparatus of claim 11, wherein the target scenario determination unit comprises:
the analysis subunit is used for analyzing the search keyword in the search request into information which is associated with a scene in the APP application;
the searching subunit is used for searching the scene name related to the information in the scene database according to the analyzed information;
and the target scene determining subunit is used for determining the found scene as the target scene corresponding to the search keyword.
15. A classification method for APP icons is characterized by comprising the following steps: presetting a scene database based on the use scene of the APP; the scene database comprises APP and scenes corresponding to the APP; at least part of APP corresponds to a plurality of scenes;
the classification method comprises the following steps:
determining a scene of a target APP application to be classified based on the scene database;
setting an APP scene icon corresponding to a scene in each target APP application; the APP scene icon is used for opening a corresponding target APP;
APP scene icons corresponding to the same scene are classified into one class.
16. The method for classifying APP application icons according to claim 15, wherein the setting of an APP scene icon corresponding to a scene in each target APP application comprises:
setting a multi-icon mode for the target APP in advance;
and starting a multi-icon mode, and setting a plurality of APP scene icons for each target APP application aiming at the target APP application in the installation process or the target APP application installed on the mobile terminal.
17. The method for classifying APP application icons according to claim 15, wherein after classifying APP scene icons corresponding to the same scene into one class, the method further comprises:
setting APP scene icons of the same type in the same folder;
and displaying the folder comprising the APP scene icons of the same type on a display interface.
18. The method for classifying APP application icons according to claim 17, wherein a classification button is preset;
the grouping of the APP scene icons corresponding to the same scene into one category includes:
and after the classification button receives the operation, the APP scene icons corresponding to the same scene are automatically classified into one class.
19. The method for classifying APP application icons according to claim 15, wherein the APP scene icon for opening a corresponding target APP application comprises:
the APP scene icon is used for directly opening a home page of a corresponding target APP application; or,
the APP scene icon is used for opening a page of a corresponding scene in a corresponding target APP application.
20. The utility model provides a classification device of APP application icon which characterized in that includes:
the target APP determining unit is used for determining the scenes of the target APP to be classified based on the scene database;
the APP setting unit is used for setting an APP scene icon corresponding to a scene in each target APP application; the APP scene icon is used for opening a corresponding target APP;
the classification unit is used for classifying APP scene icons corresponding to the same scene into one class;
the scene database is preset based on the using scene of the APP; the scene database comprises APP and scenes corresponding to the APP; at least part of APP corresponds to a plurality of scenes.
21. The apparatus for classifying APP application icons according to claim 20, wherein the APP scene icon setting unit includes:
the multi-icon mode presetting subunit is used for presetting a multi-icon mode for the target APP;
and the opening subunit is used for opening a multi-icon mode, and setting a plurality of APP scene icons for each target APP application aiming at the target APP application in the installation process or the target APP application installed on the mobile terminal.
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Application publication date: 20170825